Macronutrient variability in human milk from donors to a milk bank: Implications for feeding preterm infants

• Published in: PloS one Vol. 14; no. 1; p. e0210610
• Main Authors: John, Ashley, Sun, Ruichen, Maillart, Lisa, Schaefer, Andrew, Hamilton Spence, Erin, Perrin, Maryanne T.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 25.01.2019; Public Library of Science (PLoS)
• Subjects: Babies; Baby foods; Biology and Life Sciences; Birth weight; Breast milk; Breastfeeding & lactation; Calories; Composition; Computer simulation; Data processing; Datasets; Energy Intake; Energy requirements; Engineering and Technology; Female; Food and nutrition; Food, Fortified - analysis; Food, Fortified - standards; Health aspects; Humans; Industrial engineering; Infant; Infant Nutritional Physiological Phenomena; Infant, Newborn; Infant, Premature; Infants; Lactose; Lipids; Medicine and Health Sciences; Milk; Milk Banks; Milk, Human - chemistry; Mothers; Newborn babies; Nutrient availability; Nutrient requirements; Nutrients; Nutrition research; Nutritional Requirements; Observational studies; Pediatrics; People and Places; Physical Sciences; Postpartum; Premature babies; Premature infants; Proteins; Research and Analysis Methods; Retrospective Studies; Variability; Weaning; Fort Worth Texas; Pittsburgh Pennsylvania; United States > US; Texas; Pennsylvania
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0210610

The composition of human milk varies widely and impacts the ability to meet nutrient requirements for preterm infants. The purpose of this study is to use a large dataset of milk composition from donors to a milk bank to: (1) describe the macronutrient variability in human milk and how it contributes to the ability to meet the protein and calorie targets for the preterm infant using fortification with commercially available multi-nutrient fortifiers; (2) assess how temporal versus subject effects explain macronutrient variability; (3) determine how macronutrient variability contributes to the nutrient distribution in pooled donor milk. This is a retrospective, observational study that analyzes the macronutrient data of 1,119 human milk samples from 443 individual donors to a milk bank. We test fortification strategies with potential basic, intermediate, and high protein and calorie commercial fortifiers. Additionally, we simulate the random pooling of multiple donors to model the impact of macronutrient variability on pooled donor milk. Fat was the most variable nutrient and accounted for 80% of the difference in calories. A subject-effect predicted more of the variability after 4 weeks postpartum in all macronutrients (R2 > = 0.50) than a time-effect (R2 < = 0.28). When pooling multiple donors, variability was reduced by increasing the number of donors randomly selected for a pool or targeted pooling based on macronutrient analysis of donor pools. Over 75% of mature milk samples fortified with a basic protein fortifier did not meet daily protein targets of 3.5 g/kg without exceeding volumes of 160 ml/kg/day. There is a strong individual signature to human milk that impacts the pooling of donor milk, and the ability to meet protein and energy requirements for the preterm infant with basic and intermediate protein and calorie fortifiers.